Senior Analytics Engineer

This is a hands-on senior-level role where you'll own data pipelines end to end, from ingesting raw data from multiple sources to transforming and delivering high-quality, analytics-ready datasets. You'll also contribute to the data roadmap, working closely with business stakeholders to understand their needs, prioritise work that delivers the most value, and clearly communicate progress and technical trade-offs.

How to make an impact

Design, build and maintain end-to-end data pipelines, including ingestion, transformation and delivery of data to analytics and reporting layers.

Own and improve existing data pipelines, ensuring high reliability, performance and scalability.

Set up new pipelines for internal and external data sources, selecting appropriate tools and patterns.

Monitor data quality, accuracy and pipeline health, proactively identifying and resolving issues to ensure high levels of data trust and uptime.

Implement analytics engineering best practices, including testing, documentation, version control and observability.

Continuously improve data architecture, modelling and workflows to support growing data volumes and evolving business needs.

Partner with commercial, product and operational stakeholders to understand their data needs and translate business questions into well-scoped analytics engineering solutions.

Help shape and prioritise the analytics engineering backlog, balancing technical improvements with high-impact business requirements.

Define and communicate the data scope for new initiatives, providing clear assessments of feasibility, effort and expected value.

Your background

5+ years' experience in Analytics Engineering, BI Engineering or Data Engineering, with experience operating at Senior or Lead level.

Strong SQL and Python skills, including hands-on experience building and optimising production ELT/ETL pipelines and complex data transformations.

Experience designing, building and maintaining end-to-end data pipelines using modern data stack technologies.

Strong understanding of data modelling and analytics-ready datasets, with a focus on data quality, reliability and scalability.

Experience partnering with commercial, product or operational stakeholders, translating business requirements into effective data solutions and helping prioritise work based on business value.

Strong communication skills, with the ability to take ownership, influence priorities and explain technical concepts and trade-offs to both technical and non-technical stakeholder

This role is hybrid role based in London (SE1), 3 days in the office per week, 2 days from home.

About Arrive

Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide. Arrive delivers a unique combination of the core ingredients to make cities more livable: from smart payments and optimized car parks to data-driven traffic reduction and support for reinvestment in public transport and green space. It’s about more than function, it’s about saving time and simplifying the experience of travel for everyone. Travel is more than a journey, it’s how you Arrive.